Hadoop Job in Austria

In this role, you will develop scalable ELT/ETL pipelines for batch and real-time data processing, collaborate closely with analysts, and leverage technologies such as Apache Flink and Hadoop.

In this role, you will model scalable ELT/ETL workflows using Apache Flink, prepare data for analysis, and evaluate high-frequency data in near real-time environments.

In this role, you will develop scalable ELT/ETL flows for batch and streaming data, analyzing and modeling data to efficiently interface between analysts and scientists.

In this job, you will develop key components of the CMP platform using Go, improve code quality, and participate in the complete software development lifecycle, including design and testing.

In this role, you will develop tailored machine learning models, analyze data, present results, and integrate these solutions into the business processes of our clients from various sectors.

In this role, you will develop scalable ML models and efficient data pipelines while shaping the company’s data strategy in Generative AI and communicating complex technical concepts.

In this role, you will operate the Data Warehouse and reporting platform, handle 2nd & 3rd level support, conduct incident management, and collaborate closely with developers on reporting developments.

In this role, you will develop BI solutions, provide 3rd level support, optimize ETL processes, and work on reporting platforms using Oracle, Hadoop, and Denodo to deliver data effectively.

In this role, you will provide 3rd level support for production data management and continuously improve our reporting platforms using technologies like Oracle and Hadoop, collaborating closely with various stakeholders.

In this role, you will administer our Big Data environment based on Apache Hadoop in the AWS Cloud, optimize operations, and advise colleagues on selecting suitable services for business needs.

In this role, you design efficient ETL processes, develop Power BI solutions, and shape the data architecture for cloud and on-prem solutions with a focus on scalability and performance.

In this role, you will administer our Big Data environment based on Apache Hadoop in the AWS cloud, optimize data pipelines, and support Data Engineers in selecting appropriate services.

In this role, you administer and optimize the Big Data environment on Apache Hadoop, manage services like Kafka and Flink, while advising Data Engineers and implementing IaaC via Terraform.

In this role, you will administer our Big Data environment based on Apache Hadoop, optimize services like Kafka and Flink, conduct troubleshooting and advise the team on the use of Hadoop services.